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Research on intelligent management and control platform of power material storage based on Web

Published: 14 October 2022 Publication History

Abstract

In view of the current problems of time-consuming and poor effect of intelligent management and control of power material warehousing, this paper puts forward the research method of intelligent management and control platform of power material warehousing based on Web. First, combined with web technology, this paper constructs the ERP management model of power material warehousing, improves the ERP management function of power material intelligent warehousing, optimizes the information processing algorithm of power material warehousing, and optimizes the structure and function of the platform. The processing steps of the intelligent management and control platform for power material warehousing are simplified. Finally, the experiment proves that the intelligent management and control platform for power material warehousing based on Web can realize the management of massive warehousing information more quickly in the actual application process, and its running time is shortened by more than 4h, which has high practicability.

References

[1]
Chen W, Luo J, Yang J, Design of Lean Management and Control Model for Power Grid Material Bidding and Purchasing Process. Forest Chemicals Review, 2022: 1211-1222.
[2]
Nirmala D A R, Kannan V, Thanalakshmi M, Inventory management and control system using ABC and VED analysis. Materials Today: Proceedings, 2022, 60: 922-925.
[3]
[3] Dash R, McMurtrey M, Rebman C, Application of artificial intelligence in automation of supply chain management. Journal of Strategic Innovation and Sustainability, 2019, 14(3): 43-53.
[4]
[4] Carli R, Dotoli M, Digiesi S, Sustainable scheduling of material handling activities in labor-intensive warehouses: A decision and control model. Sustainability, 2020, 12(8): 3111.
[5]
[5] Yousefi Nejad Attari M, Ebadi Torkayesh A, Malmir B, Robust possibilistic programming for joint order batching and picker routing problem in warehouse management. International Journal of Production Research, 2021, 59(14): 4434-4452.
[6]
[6] Hu X, Fu J W, Wu S D. Optimal Location of Emergency Logistics Warehouse Based on Evolutionary Game. Computer Simulation, 021, 38(11): 415-419.

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ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2022

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ICCIR 2022

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Overall Acceptance Rate 131 of 239 submissions, 55%

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